Based on 40 comparable players
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Alexandria Area High (W) | USHS-MN-W | 24 | 0 | 8 | 8 | 0.333 | 0.0503 | 0.0503 |
| 2015-16 | Alexandria Area High (W) | USHS-MN-W | 24 | 5 | 4 | 9 | 0.375 | 0.0566 | 0.0566 |
| 2016-17 | Alexandria Area High (W) | USHS-MN-W | 24 | 0 | 6 | 6 | 0.250 | 0.0377 | 0.0377 |
| 2017-18 | Alexandria Area High (W) | USHS-MN-W | 25 | 2 | 4 | 6 | 0.240 | 0.0362 | 0.0362 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Concordia | MIAC | SR | 24 | 0 | 6 | 6 | 0.250 |
| 2020-21 | Concordia | MIAC | JR | 5 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Concordia | MIAC | SO | 19 | 1 | 3 | 4 | 0.210 |
| 2018-19 | Concordia | MIAC | FR | 19 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Brinna Dochniak | USHS-MN-W · 2012-13 · 0.24 PPG | 0.111 | RIT |
| Grace Bowlby | USHS-MN-W · 2012-13 · 0.24 PPG | 0.316 | Wisconsin |
| Paige Michel | NE-Prep-Girls · 2012-13 · 0.11 PPG | 0.348 | UConn |
| Heather Olson | USHS-MN-W · 2012-13 · 0.21 PPG | 0.143 | Bemidji State |
| Xylia Lang | USHS-MN-W · 2012-13 · 0.20 PPG | 0.091 | Lindenwood |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lydia Walsh | 2022-23 · 0.25 PPG | — | Elmira | UCHC |
| Preston Gabriel | 2024-25 · 0.22 PPG | — | SUNY Cortland | SUNYAC |
| Caroline Thompson | 2022-23 · 0.31 PPG | 0.320 | Southern Maine | NEHC |
| Alexis Larsen | 2024-25 · 0.83 PPG | 0.083 | Wisconsin-River Falls | WIAC |
| Jordan Caroccio | 2022-23 · 0.33 PPG | 0.280 | Canton | SUNYAC |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.